How do you handle AI tools that make a judgment call vs. ones that just generate text?
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Generation tools are low-stakes when they're wrong draft an email, get a bad draft, edit it. Judgment tools are different: grading, flagging, scoring. If the output looks confident and it's actually a guess, someone might act on it without knowing that.
Working on letsflw's exam-checker made this concrete objective questions are easy (exact match, no ambiguity), but for open-ended answers we made a call to surface the AI's mark as a suggestion to review, not a final score, because presenting it as settled felt dishonest.
Curious how others building agent/AI tools are drawing that line different UI for "AI generated this" vs "AI judged this," or same treatment either way?
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Oscar Chat
Confidence should never be mistaken for certainty—that’s basically AI wearing a suit 😄 With Oscar Chat, we ground answers in approved business content and provide a path to a human when the available knowledge isn’t enough, rather than letting the AI confidently invent a decision: https://www.oscarchat.ai/ai-chatbot/